Tanapoom Jitnaknan

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About

Tanapoom Jitnaknan is a researcher advancing the intersection of robotics and industrial automation, with a primary focus on computer vision and autonomous systems. His most cited work, "Real-time Multiple Analog Gauges Reader for an Autonomous Robot Application" (2022), addresses a critical bottleneck in manufacturing: enabling robots to autonomously interpret analog gauge readings, a task traditionally requiring human operators. This contribution is pivotal for reducing manual intervention in routine industrial operations, enhancing efficiency and safety. With 5 citations, this paper underscores his impact in developing practical, real-time solutions for legacy equipment integration into modern robotic workflows. Jitnaknan’s research bridges the gap between classical instrumentation and intelligent automation, offering scalable methods for retrofitting factories with autonomous capabilities. His work is particularly notable for its emphasis on real-time processing and multi-gauge handling, which are essential for deployment in dynamic production environments. As industries increasingly adopt Industry 4.0 principles, Jitnaknan’s contributions provide foundational tools for seamless human-robot collaboration, making him a promising voice in applied robotics and machine vision.